Run
23164

Run 23164

Task 14 (Supervised Classification) mfeat-fourier Uploaded 24-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I10
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.964
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8337
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8144
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1658.9336
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0385
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8347
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.833
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.833
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2141
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1672
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5575
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
914.2716[551.8002634079949986.1591667154037438.79926942492654882.04579496113711712.553499910833]